{"id":"W7036800432","doi":"","title":"Crud to Crude - Canada's Tar Sands","year":2006,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Morphological variations and asymmetry","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oil sands; tar (computing); Feature (linguistics); Petroleum; Delayed coker; Fossil fuel","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001159951,0.0005982515,0.0002310048,0.0008340589,0.00459963,0.002380086,0.0004357373,0.0006458643,0.4742875],"category_scores_gemma":[0.0003498356,0.0002732727,0.0002214061,0.001122032,0.00066803,0.001061024,0.001111636,0.001105976,0.1223724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007218978,"about_ca_system_score_gemma":0.008491512,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7776151,"about_ca_topic_score_gemma":0.960099,"domain_scores_codex":[0.9998261,0.000003609832,0.000002455127,0.00002062927,0.00008730522,0.00005988709],"domain_scores_gemma":[0.9996774,0.000008519846,0.000008190057,0.00001408422,0.0001601305,0.0001315527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001708009,0.000007588843,0.0004191255,0.00002648926,7.423486e-7,0.00006376466,0.0001796963,0.00003019447,0.0004224087,0.002332305,0.9565103,0.03999027],"study_design_scores_gemma":[0.000001331697,0.000002443393,0.001802002,0.00001572317,7.218207e-7,0.00003140697,0.0003143641,0.00001330681,0.000138294,0.0001327306,0.9975445,0.000003050506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002770805,0.0008254414,0.0003568048,0.00280266,0.0007905236,0.00004182344,0.003019331,0.0006124442,0.9887801],"genre_scores_gemma":[0.004140107,0.0003015916,0.0001700583,0.000151575,0.00002472698,0.000003380211,0.0004135429,0.0001166333,0.9946783],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4742875,"threshold_uncertainty_score":0.7498651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008796018555789157,"score_gpt":0.2010220228932234,"score_spread":0.1922260043374342,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}